This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

The information collected in the JRC Catalogue describes transitional initiatives that are considered to contribute directly or indirectly to the overarching aim of the roadmap towards phasing out animal testing in chemical safety assessment. The information i...

Database and technical annex for years 1995-2023

The PIECE project (Ghent University, ECM research group, www.ecm.ugent.be) starts from the AIDRES dataset on future demand for renewable energy in 6 industry sectors and develops an agile tool to support industrial emission reduction by clustering energy deman...

EDGAR_2025_GHG is the 2025 data release of the EDGAR Community GHG emissions database, which is the outcome of an agreement between JRC and IEA to work more closely to gather and provide consistent harmonised CO2 emissions from fossil fuel combustion. This da...

Results from the analysis conducted for the publication "Invasive Alien Species of Policy Concerns Show Widespread Patterns of Invasion and Potential Pressure Across European Ecosystems" across European ecosystems.